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Remote Data Engineer Jobs in Rolling Meadows, IL

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Resource Innovations

Energy Engineer

Chicago, IL · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Resource Innovations

Energy Engineer

Chicago, IL · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

AirLife

Data Engineering & Platform Manager

Deerfield, IL · Remote

$128K - $145K/yr

Databricks Certified Data Engineer or equivalent Azure data certification preferred. Travel: Up to 15% as required by the business. ESSENTIAL DUTIES AND RESPONSIBILITIES * Own and administer the ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Rolling Meadows, IL

Remote Data Engineer information

See Rolling Meadows, IL salary details

$44.8K

$130.5K

$178.5K

How much do remote data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data engineer in Rolling Meadows, IL is $130,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Rolling Meadows, IL?

The most popular types of Data Engineer jobs in Rolling Meadows, IL are:

What are popular job titles related to Remote Data Engineer jobs in Rolling Meadows, IL?

For Remote Data Engineer jobs in Rolling Meadows, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Rolling Meadows, IL look for?

The top searched job categories for Remote Data Engineer jobs in Rolling Meadows, IL are:

What cities near Rolling Meadows, IL are hiring for Remote Data Engineer jobs?

Cities near Rolling Meadows, IL with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Rolling Meadows, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $130,476 per year, or $62.7 per hour.

Senior Data Engineer

Above Lending

Chicago, IL • On-site, Remote

$110K - $150K/yr

Full-time

Re-posted 15 days ago

Job description

Above Lending is a next-generation financial services company helping everyday Americans break the cycle of high-cost debt and move toward a stronger financial future. Through customized lending solutions, competitive rates, and personalized support, our mission is to simplify the lending process and help our clients achieve financial well-being. We are committed to making credit more affordable and accessible; backed by a culture grounded in compliance and ethics, and technology built around the people we serve.

We are growing quickly, and we are looking for new collaborators to help us reach the next level. If you want to join a forward-thinking, rapidly growing organization where helping people is the number one goal, we want to hear from you.


We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.

This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance.

Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit.

This is a hybrid role based in Chicago, IL. We are not hiring remote candidates at this time. 
What You'll Do
  • Build and own end-to-end data pipelines (ingestion staging marts) using Snowflake, Airflow, Fivetran, and DBT.
  • Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.
  • Design data models that are simple, scalable, and trusted by the business.
  • Write advanced, high-performance SQL.
  • Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.
  • Debug data issues deeply, tracing problems across systems.
  • Use Python for ETL automation, scripting.
  • Build and enforce data quality checks that prevent bad data from reaching consumers.
  • Monitor pipelines proactively and resolve issues.
What You Bring
  • 5+ years of hands-on data engineering experience - including administration or support. 
  • Fintech or similarly data-intensive environments preferred.
  • Expert-level SQL: joins, window functions, performance trade-offs.
  • Proven experience building data models and marts from raw, imperfect source data.
  • Solid Python skills applied to practical data engineering problems.
  • Hands-on experience with Snowflake, Airflow, Fivetran, and DBT.
  • A high bar for data quality - you don't trust a number until you've validated it.
  • The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.
What Sets You Apart
  • You've debugged data issues others couldn't explain.
  • You've worked with poorly documented or unreliable source systems and made them usable.
  • You've said "this number is wrong" - and proved it.
  • You care about correctness as much as performance.
  • You default to solving problems, not escalating them.
$110,000 - $150,000 a year
This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.
Join our dynamic team and contribute to Above Lending's success as we continue to provide innovative lending solutions to our customers.
 
Under the California Consumer Privacy Act ("CCPA"), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together "job applicants") about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.
 
*Above Lending is an equal opportunity Employer*
Above Lending does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions.  No fee will be paid to their parties who submit unsolicited candidates directly to Above Lending employees or the Above Lending Finance and HR teams.  No placement fee will be paid to any third party unless such a request has been made by the Above Lending HR team.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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